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» A Boosting Algorithm for Regression
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SACI
2007
IEEE
15 years 9 months ago
A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth
- The aim of this paper is to propose a filter, based on a multi-objective evolutionary algorithm, for attributes’ ranking in the context of a data mining task. The behavior of t...
Daniela Zaharie, Stefan Holban, Diana Lungeanu, Da...
PCM
2007
Springer
99views Multimedia» more  PCM 2007»
15 years 9 months ago
Signer Adaptation Based on Etyma for Large Vocabulary Chinese Sign Language Recognition
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer indepen...
Yu Zhou, Wen Gao, Xilin Chen, Liang-Guo Zhang, Chu...
DATE
2005
IEEE
114views Hardware» more  DATE 2005»
15 years 8 months ago
A Two-Level Modeling Approach to Analog Circuit Performance Macromodeling
In this paper, we present a two-level modeling approach to performance macromodeling based on radial basis function Support Vector Machine (SVM). The two-level model consists of a...
Mengmeng Ding, Ranga Vemuri
ICTAI
2005
IEEE
15 years 8 months ago
Prediction of the Stock Exchange of Thailand Using Adaptive Evolution Strategies
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chong...
108
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 8 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett